Distributed trajectory optimization method for multi-UAV formation rendezvous over directed networks

Dongyu Han, Aoyun Ma, Yongpo Zhang, Kun Liu*, Yuanqing Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper proposes a distributed trajectory optimization method for multiple unmanned aerial vehicles' (UAVs) formation rendezvous problems. A trajectory optimization problem that minimizes the energy consumption and requires simultaneous rendezvous is established. To solve this problem distributedly, it is decoupled into a master problem and several subproblems. Each UAV solves the subproblem independently, and UAVs cooperate over directed networks to optimize the master problem using a proposed distributed subgradient algorithm. Furthermore, the convergence analysis of the proposed distributed subgradient algorithm over directed graphs is provided. Finally, simulation result shows the effectiveness of the distributed trajectory optimization method.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages6206-6211
Number of pages6
ISBN (Electronic)9789881563972
DOIs
Publication statusPublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Directed Networks
  • Distributed optimization
  • Formation Rendezvous
  • Trajectory optimization
  • UAVs

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